Bi-Level Optimization of Distribution Network for Hybrid Energy Storage System of Storage Battery and Hydrogen Storage

Authors

Feibo Feng, 1.State Grid Anhui Electric Power Company, Bengbu Power Supply Company, Bengbu 233000, China;Follow
Xingde Yan, 1.State Grid Anhui Electric Power Company, Bengbu Power Supply Company, Bengbu 233000, China;
Baoqiang Zheng, 1.State Grid Anhui Electric Power Company, Bengbu Power Supply Company, Bengbu 233000, China;
Xiaofeng Yin, 1.State Grid Anhui Electric Power Company, Bengbu Power Supply Company, Bengbu 233000, China;
Mengzhen Zhou, 1.State Grid Anhui Electric Power Company, Bengbu Power Supply Company, Bengbu 233000, China;
Xin Jiang, 2.School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;Follow

Abstract

Abstract: Under the background of carbon neutralization and emission peaking goals and the utilization of clean hydrogen energy, aiming at the demand of distribution network configuring electrochemical energy storage and hydrogen energy storage system to form a hybrid energy storage system to improve power quality, a bi-level optimization model of the hybrid energy storage system is established. The upper level location and capacity model comprehensively considers the investment cost, network loss cost and voltage offset, while the lower level optimization operation model considers the operation cost of hybrid energy storage system, and the voltage stability index is introduced for evaluation. In the solution process, the dimension of the feasible region of location is reduced by sensitivity analysis, and an improved niche multi-objective particle swarm optimization algorithm is proposed, which combines the niche processing mechanism with external file selection technology and chaotic mutation technology. Using the IEEE33 node system connected to new energy to conduct numerical example simulation, the results show that the optimal configuration of hybrid energy storage system capacity and access points can improve the economy of the system, reduce the active power loss of the whole network, reduce the voltage offset and improve the voltage stability.

Recommended Citation

Feng, Feibo; Yan, Xingde; Zheng, Baoqiang; Yin, Xiaofeng; Zhou, Mengzhen; and Jiang, Xin (2022) "Bi-Level Optimization of Distribution Network for Hybrid Energy Storage System of Storage Battery and Hydrogen Storage," Journal of System Simulation: Vol. 34: Iss. 7, Article 3.
DOI: 10.16182/j.issn1004731x.joss.22-0139
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss7/3

First Page

1405

Revised Date

2022-03-26

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.22-0139

Last Page

1416

CLC

TP391.9

Recommended Citation

Feibo Feng, Xingde Yan, Baoqiang Zheng, Xiaofeng Yin, Mengzhen Zhou, Xin Jiang. Bi-Level Optimization of Distribution Network for Hybrid Energy Storage System of Storage Battery and Hydrogen Storage[J]. Journal of System Simulation, 2022, 34(7): 1405-1416.

Corresponding Author

Xin Jiang,jiang.xin@sjtu.edu.cn

DOI

10.16182/j.issn1004731x.joss.22-0139